| Literature DB >> 29291844 |
Zichao Wang1, Yuzhen Yan2, Tanzeela Nisar3, Li Zou4, Xi Yang3, Pengfei Niu3, Lijun Sun5, Yurong Guo6.
Abstract
Anthocyanin composition in forty-five Lycium ruthenicum Murray (LRM) samples grown in China was identified by high-performance liquid chromatography-electrospray ionisation-mass spectrometry (HPLC-ESI-MS) and quantified by HPLC with a diode array detector (HPLC-DAD). The results showed that the overall pattern of anthocyanin composition of LRM from different provinces was the same, while the individual and total anthocyanin concentrations, were significantly different, indicating an important impact of geographical origin on anthocyanin composition, which can be considered as credible indices for LRM classification. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to develop discrimination models for the anthocyanin concentrations. PCA clearly separated the LRM based on its geographical origins. LDA satisfactorily categorized the samples by providing a 100% success rate based on geographical origins. The results obtained could be used to trace the geographical origin of LRM.Entities:
Keywords: Acetonitrile (PubChem CID: 6342); Anthocyanin composition; Cyanidin 3-glucoside (PubChem CID: 197081); Formic acid (PubChem CID: 284); Linear discriminant analysis; Lycium ruthenicum Murray; Methanol (PubChem CID: 887); Multivariate statistical analysis; Principal component analysis
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Year: 2017 PMID： 29291844 DOI： 10.1016/j.foodchem.2017.11.030
Source DB: PubMed Journal: Food Chem ISSN： 0308-8146 Impact factor: 7.514